CLApr 30, 2022
Solution of DeBERTaV3 on CommonsenseQA
arXiv:2206.05033v2h-index: 37
Originality Synthesis-oriented
AI Analysis
This work addresses commonsense reasoning for AI systems, but it is incremental as it applies an existing model to a specific benchmark.
The authors tackled the problem of answer selection on CommonsenseQA by formalizing it as a text classification task using DeBERTaV3, achieving a new state-of-the-art performance without external knowledge.
We report the performance of DeBERTaV3 on CommonsenseQA in this report. We simply formalize the answer selection as a text classification for DeBERTaV3. The strong natural language inference ability of DeBERTaV3 helps its single and ensemble model set the new (w/o external knowledge) state-of-the-art on CommonsenseQA.